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    Load Truncation Approach for Development of Live-Load Factors for Bridge Rating

    Source: Journal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 007
    Author:
    Sasan Siavashi
    ,
    Christopher D. Eamon
    DOI: 10.1061/(ASCE)BE.1943-5592.0001559
    Publisher: ASCE
    Abstract: Various local governments have developed state-specific vehicular live-load factors for bridge rating. However, a significant computational demand is often associated with such an effort. This is due to the large size of the weigh-in-motion (WIM) databases frequently used in the procedure. In this study, a method is proposed that can significantly reduce the computational cost of the analysis, while still maintaining reasonable accuracy. The proposed approach develops approximate live-load random-variable statistics by truncating the WIM database based on gross vehicle weight, and then a complete reliability analysis is conducted to develop new live-load factors that meet AASHTO-specified rating standards. Two WIM databases, one based on typically legal vehicles and another based on unusually heavy vehicles, are considered for evaluation. Results of the proposed approach are compared with an exact assessment as well as to a simplified method suggested by AASHTO. It was found that the proposed approach may provide very large reductions in computational cost with minimal loss of accuracy, whereas significant inaccuracies were found with the existing simplified approach.
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      Load Truncation Approach for Development of Live-Load Factors for Bridge Rating

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4266156
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    contributor authorSasan Siavashi
    contributor authorChristopher D. Eamon
    date accessioned2022-01-30T19:53:33Z
    date available2022-01-30T19:53:33Z
    date issued2020
    identifier other%28ASCE%29BE.1943-5592.0001559.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4266156
    description abstractVarious local governments have developed state-specific vehicular live-load factors for bridge rating. However, a significant computational demand is often associated with such an effort. This is due to the large size of the weigh-in-motion (WIM) databases frequently used in the procedure. In this study, a method is proposed that can significantly reduce the computational cost of the analysis, while still maintaining reasonable accuracy. The proposed approach develops approximate live-load random-variable statistics by truncating the WIM database based on gross vehicle weight, and then a complete reliability analysis is conducted to develop new live-load factors that meet AASHTO-specified rating standards. Two WIM databases, one based on typically legal vehicles and another based on unusually heavy vehicles, are considered for evaluation. Results of the proposed approach are compared with an exact assessment as well as to a simplified method suggested by AASHTO. It was found that the proposed approach may provide very large reductions in computational cost with minimal loss of accuracy, whereas significant inaccuracies were found with the existing simplified approach.
    publisherASCE
    titleLoad Truncation Approach for Development of Live-Load Factors for Bridge Rating
    typeJournal Paper
    journal volume25
    journal issue7
    journal titleJournal of Bridge Engineering
    identifier doi10.1061/(ASCE)BE.1943-5592.0001559
    page04020039
    treeJournal of Bridge Engineering:;2020:;Volume ( 025 ):;issue: 007
    contenttypeFulltext
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